{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>72</td>\n",
       "      <td>8.88</td>\n",
       "      <td>66</td>\n",
       "      <td>195</td>\n",
       "      <td>60</td>\n",
       "      <td>12</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2785</td>\n",
       "      <td>62</td>\n",
       "      <td>170</td>\n",
       "      <td>72.599998</td>\n",
       "      <td>25.120001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>70</td>\n",
       "      <td>7.70</td>\n",
       "      <td>78</td>\n",
       "      <td>225</td>\n",
       "      <td>74</td>\n",
       "      <td>11</td>\n",
       "      <td>74</td>\n",
       "      <td>7</td>\n",
       "      <td>60</td>\n",
       "      <td>3133</td>\n",
       "      <td>68</td>\n",
       "      <td>174</td>\n",
       "      <td>52.700001</td>\n",
       "      <td>17.410000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>74</td>\n",
       "      <td>8.45</td>\n",
       "      <td>70</td>\n",
       "      <td>218</td>\n",
       "      <td>70</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3901</td>\n",
       "      <td>80</td>\n",
       "      <td>169</td>\n",
       "      <td>46.500000</td>\n",
       "      <td>16.280001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>68</td>\n",
       "      <td>8.05</td>\n",
       "      <td>74</td>\n",
       "      <td>206</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4946</td>\n",
       "      <td>100</td>\n",
       "      <td>183</td>\n",
       "      <td>79.699997</td>\n",
       "      <td>23.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>85</td>\n",
       "      <td>7.52</td>\n",
       "      <td>78</td>\n",
       "      <td>210</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>9</td>\n",
       "      <td>68</td>\n",
       "      <td>3538</td>\n",
       "      <td>74</td>\n",
       "      <td>171</td>\n",
       "      <td>54.700001</td>\n",
       "      <td>18.709999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.23</td>\n",
       "      <td>68</td>\n",
       "      <td>8.27</td>\n",
       "      <td>72</td>\n",
       "      <td>208</td>\n",
       "      <td>66</td>\n",
       "      <td>10</td>\n",
       "      <td>72</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4647</td>\n",
       "      <td>100</td>\n",
       "      <td>176</td>\n",
       "      <td>69.500000</td>\n",
       "      <td>22.440001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>5.19</td>\n",
       "      <td>40</td>\n",
       "      <td>9.55</td>\n",
       "      <td>50</td>\n",
       "      <td>210</td>\n",
       "      <td>66</td>\n",
       "      <td>15</td>\n",
       "      <td>80</td>\n",
       "      <td>6</td>\n",
       "      <td>50</td>\n",
       "      <td>7042</td>\n",
       "      <td>100</td>\n",
       "      <td>177</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>24.260000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>3.25</td>\n",
       "      <td>100</td>\n",
       "      <td>7.50</td>\n",
       "      <td>80</td>\n",
       "      <td>252</td>\n",
       "      <td>90</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>13</td>\n",
       "      <td>85</td>\n",
       "      <td>5755</td>\n",
       "      <td>100</td>\n",
       "      <td>181</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>19.840000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>4.39</td>\n",
       "      <td>62</td>\n",
       "      <td>7.81</td>\n",
       "      <td>76</td>\n",
       "      <td>208</td>\n",
       "      <td>66</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>11</td>\n",
       "      <td>76</td>\n",
       "      <td>5688</td>\n",
       "      <td>100</td>\n",
       "      <td>172</td>\n",
       "      <td>51.700001</td>\n",
       "      <td>17.480000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>17</td>\n",
       "      <td>男</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0     1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1     1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2     1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "3     1  男     4.21         68   8.05       74  206     64    13      76    1   \n",
       "4     1  男     3.44         85   7.52       78  210     66    13      76    9   \n",
       "..   .. ..      ...        ...    ...      ...  ...    ...   ...     ...  ...   \n",
       "472  17  男     4.23         68   8.27       72  208     66    10      72    0   \n",
       "473  17  男     5.19         40   9.55       50  210     66    15      80    6   \n",
       "474  17  男     3.25        100   7.50       80  252     90    13      76   13   \n",
       "475  17  男     4.39         62   7.81       76  208     66    14      78   11   \n",
       "476  17  男     0.00          0   0.00        0    0      0     0       0    0   \n",
       "\n",
       "     男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0        0  2785      62  170  72.599998  25.120001  \n",
       "1       60  3133      68  174  52.700001  17.410000  \n",
       "2        0  3901      80  169  46.500000  16.280001  \n",
       "3        0  4946     100  183  79.699997  23.799999  \n",
       "4       68  3538      74  171  54.700001  18.709999  \n",
       "..     ...   ...     ...  ...        ...        ...  \n",
       "472      0  4647     100  176  69.500000  22.440001  \n",
       "473     50  7042     100  177  76.000000  24.260000  \n",
       "474     85  5755     100  181  65.000000  19.840000  \n",
       "475     76  5688     100  172  51.700001  17.480000  \n",
       "476      0     0       0    0   0.000000   0.000000  \n",
       "\n",
       "[477 rows x 17 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "male = pd.read_excel('./体测分数_男生.xls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "上游    261\n",
       "中游    195\n",
       "下游     21\n",
       "Name: level, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "male['level']=pd.cut(male.男1000米跑, \n",
    "       bins=3,\n",
    "       labels=['下游','中游','上游'],\n",
    "       right = True)\n",
    "data = male['level'].value_counts()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '男1000米跑饼图')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plt.pie(data,labels=data.index, textprops={'family':'Songti SC','fontsize':18},\n",
    "           autopct='%0.2f%%')\n",
    "plt.title('男1000米跑饼图', family='Songti SC',fontsize=18,pad=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "中游    230\n",
       "下游    227\n",
       "上游     20\n",
       "Name: level2, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "male['level2']=pd.cut(male.男引体, \n",
    "       bins=3,\n",
    "       labels=['下游','中游','上游'],\n",
    "       right = True)\n",
    "data = male['level2'].value_counts()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '男引体饼图')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plt.pie(data,labels=data.index, textprops={'family':'Songti SC','fontsize':18},\n",
    "           autopct='%0.2f%%')\n",
    "plt.title('男引体饼图', family='Songti SC',fontsize=18,pad=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "female = pd.read_excel('./体测分数_女生.xls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "中等     304\n",
       "优秀     107\n",
       "及格      73\n",
       "不及格     34\n",
       "Name: level, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "female['level'] = pd.cut(female.女800米跑分数, \n",
    "       bins=[0,60,70,90,100],\n",
    "       labels=['不及格','及格','中等','优秀'])\n",
    "data = female['level'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '女800米分数直方图')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(data.index, data, width=0.5)\n",
    "plt.title('女800米分数直方图', family='Songti SC',fontsize=18,pad=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "及格     261\n",
       "中等     211\n",
       "不及格     96\n",
       "优秀       8\n",
       "Name: level2, dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "female['level2'] = pd.cut(female.女跳远分数, \n",
    "       bins=[0,60,70,90,100],\n",
    "       labels=['不及格','及格','中等','优秀'])\n",
    "data = female['level2'].value_counts()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '女跳远分数直方图')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(data.index, data, width=0.5)\n",
    "plt.title('女跳远分数直方图', family='Songti SC',fontsize=18,pad=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "正常     354\n",
      "超重      61\n",
      "肥胖      38\n",
      "低体重     24\n",
      "Name: level3, dtype: int64\n",
      "正常     468\n",
      "超重      79\n",
      "肥胖      31\n",
      "低体重     15\n",
      "Name: level3, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "# male['level3'] = pd.cut(male.BMI, \n",
    "#        bins=[0,16.4,23.2,26.3],\n",
    "#        labels=['不及格','及格','中等','优秀'])\n",
    "\n",
    "def convert(x):\n",
    "    if(x<=16.4):\n",
    "        return '低体重'\n",
    "    if(x>16.4 and x<=23.2):\n",
    "        return '正常'\n",
    "    if(x>23.2 and x<=26.3):\n",
    "        return '超重'\n",
    "    if(x>26.3):\n",
    "        return '肥胖'\n",
    "    \n",
    "def convert2(x):\n",
    "    if(x<=16.4):\n",
    "        return '低体重'\n",
    "    if(x>16.4 and x<=22.7):\n",
    "        return '正常'\n",
    "    if(x>22.7 and x<=25.2):\n",
    "        return '超重'\n",
    "    if(x>25.2):\n",
    "        return '肥胖'\n",
    "    \n",
    "male['level3'] = male.BMI.apply(convert)\n",
    "data = male.level3.value_counts()\n",
    "female['level3'] = female.BMI.apply(convert)\n",
    "data2 = female.level3.value_counts()\n",
    "print(data)\n",
    "print(data2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x13b15de50>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,9))\n",
    "_ = plt.pie(data, radius=1,\n",
    "           autopct='%0.2f%%',\n",
    "           pctdistance=0.85,\n",
    "#            labels=['男正常', '男超重', '男肥胖','男低体重'],\n",
    "           wedgeprops={'linewidth':5,\n",
    "                       'width':0.3,\n",
    "                       'edgecolor':'white'},\n",
    "           textprops={'family':'Songti SC', 'fontsize':18})\n",
    "\n",
    "_ = plt.pie(data2, \n",
    "        radius=0.7, \n",
    "        autopct='%0.2f%%',\n",
    "        pctdistance=0.55,\n",
    "#         labels=['女正常', '女超重', '女肥胖','女低体重'],\n",
    "        wedgeprops={'linewidth':5,\n",
    "                    'width':0.7,\n",
    "                    'edgecolor':'white'})\n",
    "\n",
    "plt.rcParams['font.family'] = 'Songti SC' #全局设置\n",
    "plt.rcParams['font.size'] = 18\n",
    "plt.legend(['男正常', '男超重', '男肥胖','男低体重', '女正常', '女超重', '女肥胖','女低体重' ], \n",
    "           title='BMI类别',\n",
    "          bbox_to_anchor=(0.8,0.75))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
